Cybersecurity Software Engineer II – ML & AI

• Design and develop innovative AI-powered security solutions protecting enterprise systems, applications, and data
• Leverage modern software engineering practices, cloud technologies, and emerging AI frameworks to build secure, scalable applications
• Configure and integrate cybersecurity systems that mitigate risk
• Troubleshoot and quickly resolve escalated incidents
• Design, build, configure, maintain, and monitor cybersecurity threat defense capabilities and user access management
• Coordinate integration and collaboration with managed security providers
• Investigate incidents and recommend corrective actions
• Support cybersecurity capabilities and business objectives across the organization
• Report typically to a Manager or Senior Manager; no direct reports

Requirements

• 1–3 years of relevant software development or engineering experience preferred
• Experience programming in Python and at least one object-oriented programming language; Java preferred
• Experience building agentic AI systems using frameworks such as LangChain/LangGraph, Google Agent Development Kit (ADK), or similar
• Experience developing or integrating Model Context Protocol (MCP) servers and clients
• Experience building retrieval-augmented generation (RAG) systems
• Experience with AI evaluation, guardrails, prompt engineering, prompt-injection defense, and unsafe-tool-invocation defense
• Experience with cloud-native application development on Google Cloud Platform, including Vertex AI, Gemini Enterprise Agent Platform, Agent Engine, Cloud Run, BigQuery, Pub/Sub, and Secret Manager; equivalent Azure or AWS experience considered
• Experience writing and optimizing SQL queries against relational databases
• Familiarity with relational, NoSQL, and vector databases
• Experience building and supporting microservice architectures and APIs
• Experience with CI/CD pipelines, DevOps practices, and automated deployment tools
• Experience with Git and version control systems
• Understanding of authentication, authorization, sensitive-data handling, data classification, model endpoint controls, and retention
• Familiarity with MITRE ATT&CK, cyber threat intelligence, detection engineering, or offensive security, or demonstrated interest in developing it
• Experience with debugging, monitoring, root cause analysis, observability, and LLM application cost monitoring
• Experience creating and executing unit, functional, integration, performance, and automated tests
• Understanding of code reviews, testing, documentation, and agile development methodologies
• Working knowledge of HTML, CSS, JavaScript, and TypeScript frameworks
• Must be eighteen years of age or older
• Must be legally permitted to work in the United States
• Bachelor's degree or equivalent degree in a job-related field
• Minimum 2+ years of work experience

Core Competencies

Demonstrates expertise in designing and developing AI-powered security solutions, leveraging cloud technologies and modern software engineering practices. Proficient in programming with Python and Java, with a strong understanding of cybersecurity principles and practices.

Highest-signal resume keywords

• Python Programming
• AI Frameworks (LangChain, Google ADK)
• Cloud-Native Application Development (Google Cloud Platform)
• Cybersecurity Threat Defense
• CI/CD Pipelines and DevOps Practices

ATS Optimization Keywords

Hard Skills

• Java Programming
• Model Context Protocol (MCP)
• Retrieval-Augmented Generation (RAG)
• SQL Query Optimization
• Microservice Architecture
• APIs Development
• Debugging and Monitoring
• Unit and Integration Testing
• HTML, CSS, JavaScript, TypeScript
• Version Control (Git)

Soft Skills

• Problem-Solving
• Collaboration
• Incident Investigation
• Communication

Industry Keywords

• Cybersecurity
• MITRE ATT&CK
• Cyber Threat Intelligence
• Detection Engineering
• Agile Development

Tools & Technologies

• Google Cloud Platform
• Vertex AI
• BigQuery
• Pub/Sub
• Secret Manager
• CI/CD Tools
• DevOps Tools